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System Throughput Measurement on Embodied Rearrangement open-fridge (train)

2,861Mean SPSVER
66.52792.011,517.52,242.99Oct 11, 2022

Evaluation results

MethodLinks
VERNumber of GPUs=8, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.102,8613,829
NOVERNumber of GPUs=8, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.102,2163,438
SampleFactoryNumber of GPUs=8, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.101,6621,842
VERNumber of GPUs=4, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.101,4321,915
SampleFactoryNumber of GPUs=4, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.101,2861,568
NOVERNumber of GPUs=4, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.101,0971,601
DD-PPONumber of GPUs=8, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.101,0662,754
SampleFactoryNumber of GPUs=2, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.108041,022
VERNumber of GPUs=2, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.10716945
NOVERNumber of GPUs=2, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.10592786
DD-PPONumber of GPUs=4, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.104681,337
VERNumber of GPUs=1, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.10428534
SampleFactoryNumber of GPUs=1, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.10427517
NOVERNumber of GPUs=1, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.10327428
DD-PPONumber of GPUs=2, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.10283696
DD-PPONumber of GPUs=1, Hardware=Tesla V100(s), Environments per GPU=16, Training Steps=20 million2022.10174442